Document Analysis and Recognition - ICDAR 2024: 18th International Conference, Athens, Greece, August 30–September 4, 2024, Proceedings, Part VI: 14809 - Brossura

Brossura

ISBN 10: 3031705513 ISBN 13: 9783031705519

Casa editrice: Springer, 2024

Riassunto

This six-volume set LNCS 14804-14809 constitutes the proceedings of the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30–September 4, 2024.
The total of 144 full papers presented in these proceedings were carefully selected from 263 submissions.
The papers reflect topics such as: document image processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; document analysis systems; document classification; indexing and retrieval of documents; document synthesis; extracting document semantics; NLP for document understanding; office automation; graphics recognition; human document interaction; document representation modeling and much more.

Chapter “The KuiSCIMA Dataset for Optical Music Recognition of Ancient Chinese Suzipu Notation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

 

Su questo libro

Dalla quarta di copertina

Chapter “The KuiSCIMA Dataset for Optical Music Recognition of Ancient Chinese Suzipu Notation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Dettagli dell?edizione

• Editore: Springer
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 3031705513
• ISBN 13: 9783031705519
• Rilegatura: Copertina flessibile
• Numero di pagine: 464
• Redattore: Barney Smith Elisa H., Liwicki Marcus, Peng Liangrui
• Contatto del produttore: {language_tag:it_IT,value:"Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com"}